This is similar to how Nvidia tapped the Volta-based V100 server GPU for the GV100 workstation ... versus GV100’s 870 GB/s, 6,912 CUDA cores versus GV100’s 5,120 CUDA cores and 400 GB/s ...
The GPU partition features 44 NVIDIA Tesla P100 GPUs, 352 CPU cores, and 2.75TiB of memory. The Visualization partition is composed of three NVIDIA Tesla V100 GPUs, 48 CPU cores, and 1.1TiB of memory.
With the A100’s ability to perform inference and training workloads faster than Nvidia's T4 and V100 ... Cores, 6,912 FP32 CUDA Cores, 432 Tensor Cores, 108 streaming multiprocessors and 40 GB ...